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Titlebook: Computational Metrics for Soccer Analysis; Connecting the dots Filipe Manuel Clemente,Jo?o Bernardo Sequeiros,Fer Book 2018 The Author(s) 2

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發(fā)表于 2025-3-21 20:04:52 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Computational Metrics for Soccer Analysis
副標(biāo)題Connecting the dots
編輯Filipe Manuel Clemente,Jo?o Bernardo Sequeiros,Fer
視頻videohttp://file.papertrans.cn/233/232807/232807.mp4
概述Describes the best algorithms to measure collective behavior in soccer and other team sports.Explains how computational metrics based on geo-referencing can be used to identify collective properties o
叢書名稱SpringerBriefs in Applied Sciences and Technology
圖書封面Titlebook: Computational Metrics for Soccer Analysis; Connecting the dots Filipe Manuel Clemente,Jo?o Bernardo Sequeiros,Fer Book 2018 The Author(s) 2
描述.This book provides an account of the use of computational tactical metrics in improving sports analysis, in particular the use of Global Positioning System (GPS) data in soccer. As well as offering a practical perspective on collective behavioural analysis, it introduces the computational metrics available in the literature that allow readers to identify collective behaviour and patterns of play in team sports..These metrics only require the bio-dimensional geo-referencing information from GPS or video-tracking systems to provide qualitative and quantitative information about the tactical behaviour of players and the inter-relationships between teammates and their opponents. Exercises, experimental cases and algorithms enable readers to fully comprehend how to compute these metrics, as well as introducing them to the ultimate performance analysis tool, which is the basis to run them on. The script to compute the metrics is presented in Python...?The book is a valuable resource for professional analysts as well students and researchers in the field of sports analysis wanting to optimise the use of GPS trackers in soccer.?.
出版日期Book 2018
關(guān)鍵詞Computational Tactile Metrics; Match Analysis; Soccer analysis; GPS in soccer; Performance Analysis Tool
版次1
doihttps://doi.org/10.1007/978-3-319-59029-5
isbn_softcover978-3-319-59028-8
isbn_ebook978-3-319-59029-5Series ISSN 2191-530X Series E-ISSN 2191-5318
issn_series 2191-530X
copyrightThe Author(s) 2018
The information of publication is updating

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發(fā)表于 2025-3-21 22:53:58 | 只看該作者
How to Use the Dots to Analyze the Behavior and the Collective Organization,that have been used to track players during the games and training sessions and to discuss which kind of information can be used to analyze the individual and collective behavior. The introduction to the uPATO software will be also executed. This software allows to import position data from multi-ca
板凳
發(fā)表于 2025-3-22 03:38:34 | 只看該作者
Metrics to Measure the Center of the Team,, including the associated formulae and definitions, representations if valid, and an interpretation on what the metric can convey the user. The following measures will be presented: Geometrical Center; Longitudinal and Lateral Inter-team Distances; Time Delay between teams’ movements and Coupling S
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V. -Ch. Steinmetz,T. Iber,D. A. Vagts PDtrength. The case studies presented involve two five-player teams in an SSG considering only the space of half pitch (68?m goal-to-goal and 52?m side-to-side) and another eleven-player team in a match considering the space of the entire field (106.744?m goal-to-goal and 66.611?m side-to-side) even though only playing in half pitch.
6#
發(fā)表于 2025-3-22 14:23:48 | 只看該作者
Metrics to Measure the Center of the Team,trength. The case studies presented involve two five-player teams in an SSG considering only the space of half pitch (68?m goal-to-goal and 52?m side-to-side) and another eleven-player team in a match considering the space of the entire field (106.744?m goal-to-goal and 66.611?m side-to-side) even though only playing in half pitch.
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發(fā)表于 2025-3-22 22:10:36 | 只看該作者
H. K?ferstein,M. Staak,G. Stichtavior, predictability, stability and spatial exploration of players will be discussed. Collective measures that represent the Geometrical Center and team’s dispersion will be also presented during this chapter. The main evidences that resulted from these measures will be briefly discussed.
9#
發(fā)表于 2025-3-23 01:55:45 | 只看該作者
https://doi.org/10.1007/978-3-658-14949-9dual and collective behavior. The introduction to the uPATO software will be also executed. This software allows to import position data from multi-camera tracking systems or Global Positioning System (GPS) and to compute tactical and collective measures representing group behavior.
10#
發(fā)表于 2025-3-23 09:03:43 | 只看該作者
Brief Review About Computational Metrics Used in Team Sports,avior, predictability, stability and spatial exploration of players will be discussed. Collective measures that represent the Geometrical Center and team’s dispersion will be also presented during this chapter. The main evidences that resulted from these measures will be briefly discussed.
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